A heuristic maintenance scheduling framework for a military aircraft fleet under limited maintenance capacities
•A maintenance scheduling framework for a military aircraft fleet is developed.•Limited maintenance capacities and uncertain break are involved in this framework.•Structural dependence and operation constraints are jointly formulated.•Two iterated greedy heuristics are developed to resolve the probl...
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| Vydáno v: | Reliability engineering & system safety Ročník 235; s. 109239 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier Ltd
01.07.2023
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| Témata: | |
| ISSN: | 0951-8320, 1879-0836 |
| On-line přístup: | Získat plný text |
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| Abstract | •A maintenance scheduling framework for a military aircraft fleet is developed.•Limited maintenance capacities and uncertain break are involved in this framework.•Structural dependence and operation constraints are jointly formulated.•Two iterated greedy heuristics are developed to resolve the problem.•A horizon splitting strategy enhances the algorithm's performance.
In many military scenarios, an aircraft fleet is oftentimes required to execute a sequence of missions with finite breaks between two adjacent missions. The performance of a fleet can be significantly improved by conducting appropriate maintenance activities on damaged aircraft during each break. The maintenance scheduling of such a scenario is, however, inherently subject to the limitation of maintenance capacities, such as repairpersons and repair facilities. Each maintenance activity contains multiple maintenance jobs that must be sequentially carried out, whereas the structural dependence of the constituent parts of each aircraft produces additional constraints to the sequence of maintenance activities. In this article, a new maintenance scheduling framework for a fleet of military aircraft is formulated to maximize the expected fleet readiness. Each maintenance activity requires specific repair facilities and repairpersons, and the limited maintenance capacities have to be arranged in a holistic manner. Due to the unexpected arrival of the next mission on battlefields, the uncertainty associated with the time duration of a break is also considered. Two heuristic algorithms are put forth to resolve the resulting optimization problem efficiently. Comparative studies show that the proposed heuristics outperform other alternative algorithms and are promising to solve large-scale problems. |
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| AbstractList | •A maintenance scheduling framework for a military aircraft fleet is developed.•Limited maintenance capacities and uncertain break are involved in this framework.•Structural dependence and operation constraints are jointly formulated.•Two iterated greedy heuristics are developed to resolve the problem.•A horizon splitting strategy enhances the algorithm's performance.
In many military scenarios, an aircraft fleet is oftentimes required to execute a sequence of missions with finite breaks between two adjacent missions. The performance of a fleet can be significantly improved by conducting appropriate maintenance activities on damaged aircraft during each break. The maintenance scheduling of such a scenario is, however, inherently subject to the limitation of maintenance capacities, such as repairpersons and repair facilities. Each maintenance activity contains multiple maintenance jobs that must be sequentially carried out, whereas the structural dependence of the constituent parts of each aircraft produces additional constraints to the sequence of maintenance activities. In this article, a new maintenance scheduling framework for a fleet of military aircraft is formulated to maximize the expected fleet readiness. Each maintenance activity requires specific repair facilities and repairpersons, and the limited maintenance capacities have to be arranged in a holistic manner. Due to the unexpected arrival of the next mission on battlefields, the uncertainty associated with the time duration of a break is also considered. Two heuristic algorithms are put forth to resolve the resulting optimization problem efficiently. Comparative studies show that the proposed heuristics outperform other alternative algorithms and are promising to solve large-scale problems. |
| ArticleNumber | 109239 |
| Author | Liu, Yu Huang, Hong-Zhong Zhang, Qin Xiahou, Tangfan |
| Author_xml | – sequence: 1 givenname: Qin surname: Zhang fullname: Zhang, Qin organization: School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China – sequence: 2 givenname: Yu surname: Liu fullname: Liu, Yu email: yuliu@uestc.edu.cn organization: School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China – sequence: 3 givenname: Tangfan surname: Xiahou fullname: Xiahou, Tangfan organization: School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China – sequence: 4 givenname: Hong-Zhong surname: Huang fullname: Huang, Hong-Zhong organization: School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China |
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| Keywords | Horizon splitting iterated greedy heuristic Limited maintenance capacities Iterated greedy heuristic Maintenance scheduling Military aircraft fleet |
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| SubjectTerms | Horizon splitting iterated greedy heuristic Iterated greedy heuristic Limited maintenance capacities Maintenance scheduling Military aircraft fleet |
| Title | A heuristic maintenance scheduling framework for a military aircraft fleet under limited maintenance capacities |
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